



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


A__								=		{
    '''configuration_perceiver''': ['''PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PerceiverConfig''', '''PerceiverOnnxConfig'''],
    '''tokenization_perceiver''': ['''PerceiverTokenizer'''],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A__								=		['''PerceiverFeatureExtractor''']
				A__								=		['''PerceiverImageProcessor''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A__								=		[
				    '''PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''PerceiverForImageClassificationConvProcessing''',
				    '''PerceiverForImageClassificationFourier''',
				    '''PerceiverForImageClassificationLearned''',
				    '''PerceiverForMaskedLM''',
				    '''PerceiverForMultimodalAutoencoding''',
				    '''PerceiverForOpticalFlow''',
				    '''PerceiverForSequenceClassification''',
				    '''PerceiverLayer''',
				    '''PerceiverModel''',
				    '''PerceiverPreTrainedModel''',
				]


if TYPE_CHECKING:
				from .configuration_perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverOnnxConfig
				from .tokenization_perceiver import PerceiverTokenizer

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_perceiver import PerceiverFeatureExtractor
								from .image_processing_perceiver import PerceiverImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_perceiver import (
								    PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    PerceiverForImageClassificationConvProcessing,
								    PerceiverForImageClassificationFourier,
								    PerceiverForImageClassificationLearned,
								    PerceiverForMaskedLM,
								    PerceiverForMultimodalAutoencoding,
								    PerceiverForOpticalFlow,
								    PerceiverForSequenceClassification,
								    PerceiverLayer,
								    PerceiverModel,
								    PerceiverPreTrainedModel,
								)

else:
				import sys

				A__								=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


'''simple docstring'''




def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							)      ->       float:
    if digit_amount > 0:
        return round(number - int(UpperCamelCase__							)							,    UpperCamelCase__							)
    return number - int(UpperCamelCase__							)


if __name__ == "__main__":
  print(decimal_isolate(1.53, 0))
  print(decimal_isolate(35.345, 1))
  print(decimal_isolate(35.345, 2))
  print(decimal_isolate(35.345, 3))
  print(decimal_isolate(-14.789, 3))
  print(decimal_isolate(0, 2))
  print(decimal_isolate(-14.123, 1))
  print(decimal_isolate(-14.123, 2))
  print(decimal_isolate(-14.123, 3))
